was followed from the first test until death, or until the end of 2020. During follow-up, 1,224 people reached their 100th birthday. About 85% of the centenarians were women, which reflects broader survival patterns in Sweden at that time. The team linked the lab data to several national registers using Swedish personal identification numbers. That allowed accurate tracking of diseases and deaths. The analysis used descriptive statistics, logistic regression, and clustering.
Explore Anatomy Models
Those methods helped compare distributions, estimate odds, and see whether centenarians formed distinct lab profiles. The authors note that “half of the participants were followed for more than 10 years,” which gives room for meaningful patterns to show up. They also adjusted their models for the Charlson Comorbidity Index, which summarizes serious health conditions from hospital records. This adjustment helps separate the lab signals from known disease burdens. The overall design is a strength. It
